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A NOVEL MOTION ESTIMATION METHOD FOR MESH-BASED VIDEO MOTION TRACKING

机译:一种新的基于网格视频运动跟踪的运动估计方法

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This paper presents a novel motion estimation method for mesh-based video motion tracking. The proposed method has been called mesh-based square-matching (MB-SM) motion estimation method. The MB-SM method outperforms the commonly used motion estimation methods in terms of computational cost reduction, efficiency and image quality (i.e. peak signal to noise ratio (PSNR)). It yields comparable PSNR values with the hexagonal matching method [1] while it has lower computation complexity.
机译:本文提出了一种基于网格的视频运动跟踪的新颖运动估计方法。所提出的方法已被称为基于网格的方形匹配(MB-SM)运动估计方法。 MB-SM方法在计算成本降低,效率和图像质量(即峰值信号到噪声比(PSNR))方面优于常用的运动估计方法。它具有与六边形匹配方法[1]产生相当的PSNR值[1],而计算复杂性较低。

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